Integrating theory with practical techniques and experimental results, it focuses on malware detection applications for email worms, malicious code, remote exploits, and botnets. For each of these tools, they detail the system architecture, algorithms, performance results, and limitations. Discusses data mining for emerging applications, including adaptable malware detection, insider threat detection, firewall policy analysis, and real-time data mining Includes four appendices that provide a firm foundation in data management, secure systems, and the semantic web Describes the authors tools for stream. suspicious event detection and malicious software detection. Our previous book focused on data mining tools for applications in intrusion detection, image.
Request PDF on ResearchGate | Data Mining Tools for Malware Detection | Although the use of data mining for security and malware detection. Data Mining, Malware Detection, Binary Classiﬁcation,. Static Analysis . using statistical attributes and visualization tools this can. be detected. A Survey on Malware Detection Using Data Mining Techniques .. dynamic malware-analysis techniques and tools, ACM Computing Surveys.
breaking the mold data mining tools for malware detection provides a step by step breakdown of how to develop data mining tools for malware detection. This research investigates the use of data mining methods for malware we were able to achieve as high as % detection rate and as low as % false program, rootkits, that are a set of hacker tools intended to conceal running.